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Note 2:
Although the probability distribution of a continuous r.v cannot be presented in tabular forms, we can have a formula in the form of a function represented by f(x) usually called the probability density functio..
Note 1 :
P{X = x} is called probability mass functio..
Example:
In tossing a die experiment, what is the probability of getting at least ..
Example 1:
A card is drawn from an ordinary deck and we are told that it is red, what is the probability that the card is greater than 2 but less than ..
Note 2:
P{X = x} is called probability mass functio..
Conclusion
In this chapter we have studied the method of evaluating probabilities of events relating to independent events and conditional events. We have also studied about random variables and their probability distributions, namely binomial distribution and Poisson distribution. The bin..
Example 3:
A manufacture ships his products in boxes of 10. He guarantees that not more than 2 out of 10 items are defective. If the probability that an item selected at random from his production line will be defective is 0.1, what is the probability that the guarantee is satisfie..
Introduction to Permutations and Combinations
Introduction - Arrangement and selection of objects are the central ideas of this chapter on permutations and combinations. They are widely applied in solving problems of probability, genetic engineering and life scienc..
Introduction
Arrangement and selection of objects are the central ideas of this chapter on permutations and combinations. They are widely applied in solving problems of probability, genetic engineering and life science..
Example 2:
A pair of dice is thrown. If it is known that one die shows a 4, what is the probability that a) the other die shows a 5 b) the total of both the die is greater than..
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